# coding=utf-8
# Copyright 2021 The Eleuther AI and HuggingFace Inc. team. All rights reserved.
# Copyright 2023 Huawei Technologies Co., Ltd

# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
""" BaiChuan configuration"""
from mindnlp.utils import logging
from ...configuration_utils import PretrainedConfig

logger = logging.get_logger(__name__)


class BaiChuanConfig(PretrainedConfig):
    """
    Configurations for BaiChuan
    """
    model_type = "baichuan"
    keys_to_ignore_at_inference = ["past_key_values"]

    def __init__(
            self,
            vocab_size=64000,
            hidden_size=4096,
            intermediate_size=11008,
            num_hidden_layers=32,
            num_attention_heads=32,
            hidden_act="silu",
            max_position_embeddings=4096,
            model_max_length=4096,
            initializer_range=0.02,
            rms_norm_eps=1e-6,
            use_cache=True,
            pad_token_id=0,
            bos_token_id=1,
            eos_token_id=2,
            tie_word_embeddings=False,
            **kwargs,
    ):
        """Constructs BaiChuanConfig."""
        self.vocab_size = vocab_size
        self.max_position_embeddings = max_position_embeddings
        self.model_max_length = model_max_length
        self.hidden_size = hidden_size
        self.intermediate_size = intermediate_size
        self.num_hidden_layers = num_hidden_layers
        self.num_attention_heads = num_attention_heads
        self.hidden_act = hidden_act
        self.initializer_range = initializer_range
        self.rms_norm_eps = rms_norm_eps
        self.use_cache = use_cache
        super().__init__(
            pad_token_id=pad_token_id,
            bos_token_id=bos_token_id,
            eos_token_id=eos_token_id,
            tie_word_embeddings=tie_word_embeddings,
            **kwargs,
        )


__all__ = ['BaiChuanConfig']
